Retrieve Ground Parameters from Quasi-coherent Targets for Sar Interferometry

This paper presents a multi-baseline DInSAR algorithm to obtain ground deformation and topography parameters from Quasi Coherent Targets (Q-CTs), such as the bare land and light cultivated areas that distribute broadly on the suburban ground surface. In this study the physical classification characteristics and coherence features are analyzed for Q-CTs targets selection. And a linked parameters model is established to retrieve the ground geometric information by temporally analyzing the whole stack SAR images. The ALOS PALSAR dataset over Tianjin, China is collected for the algorithm experiment. The experiment results are consistent with the levelling measurement and the investigation. Meanwhile, the estimated topography is also validated by the SRTM DEM data. The Q-CTs DInSAR algorithm brings practical applications for large scale non-urban areas monitoring.